Travel Distance Between Participants in US Telemedicine Sessions With Estimates of Emissions Savings: Observational Study.

BACKGROUND: Digital health and telemedicine are potentially important strategies to decrease health care's environmental impact and contribution to climate change by reducing transportation-related air pollution and greenhouse gas emissions. However, we currently lack robust national estimates of emissions savings attributable to telemedicine. OBJECTIVE: This study aimed to (1) determine the travel distance between participants in US telemedicine sessions and (2) estimate the net reduction in carbon dioxide (CO2) emissions attributable to telemedicine in the United States, based on national observational data describing the geographical characteristics of telemedicine session participants. METHODS: We conducted a retrospective observational study of telemedicine sessions in the United States between January 1, 2022, and February 21, 2023, on the doxy.me platform. Using Google Distance Matrix, we determined the median travel distance between participating providers and patients for a proportional sample of sessions. Further, based on the best available public data, we estimated the total annual emissions costs and savings attributable to telemedicine in the United States. RESULTS: The median round trip travel distance between patients and providers was 49 (IQR 21-145) miles. The median CO2 emissions savings per telemedicine session was 20 (IQR 8-59) kg CO2). Accounting for the energy costs of telemedicine and US transportation patterns, among other factors, we estimate that the use of telemedicine in the United States during the years 2021-2022 resulted in approximate annual CO2 emissions savings of 1,443,800 metric tons. CONCLUSIONS: These estimates of travel distance and telemedicine-associated CO2 emissions costs and savings, based on national data, indicate that telemedicine may be an important strategy in reducing the health care sector's carbon footprint.

Comparison of a Cancer Family History Collection and Risk Assessment Tool - ItRunsInMyFamily - with Risk Assessment by Health-Care Professionals.

INTRODUCTION: Primary care providers (PCPs) and oncologists lack time and training to appropriately identify patients at increased risk for hereditary cancer using family health history (FHx) and clinical practice guideline (CPG) criteria. We built a tool, "ItRunsInMyFamily" (ItRuns) that automates FHx collection and risk assessment using CPGs. The purpose of this study was to evaluate ItRuns by measuring the level of concordance in referral patterns for genetic counseling/testing (GC/GT) between the CPGs as applied by the tool and genetic counselors (GCs), in comparison to oncologists and PCPs. The extent to which non-GCs are discordant with CPGs is a gap that health information technology, such as ItRuns, can help close to facilitate the identification of individuals at risk for hereditary cancer. METHODS: We curated 18 FHx cases and surveyed GCs and non-GCs (oncologists and PCPs) to assess concordance with ItRuns CPG criteria for referring patients for GC/GT. Percent agreement was used to describe concordance, and logistic regression to compare providers and the tool's concordance with CPG criteria. RESULTS: GCs had the best overall concordance with the CPGs used in ItRuns at 82.2%, followed by oncologists with 66.0% and PCPs with 60.6%. GCs were significantly more likely to concur with CPGs (OR = 4.04, 95% CI = 3.35-4.89) than non-GCs. All providers had higher concordance with CPGs for FHx cases that met the criteria for genetic counseling/testing than for cases that did not. DISCUSSION/CONCLUSION: The risk assessment provided by ItRuns was highly concordant with that of GC's, particularly for at-risk individuals. The use of such technology-based tools improves efficiency and can lead to greater numbers of at-risk individuals accessing genetic counseling, testing, and mutation-based interventions to improve health.

A Systematic Review of the Implementation Challenges of Telemedicine Systems in Ambulances.

BACKGROUND: Telemedicine systems are gaining attention nationwide as a means for providing care in remote areas and allowing a small number of providers to impact a large geographic region. We systematically reviewed the literature to identify the efficacy and implementation challenges of telemedicine systems in ambulances. METHODS: A search for published studies on Web of Science and PubMed was completed. Studies were selected if they included at least a pilot study and they focused on feasibility or implementation of telemedicine systems in ambulances. RESULTS: A total of 864 articles were used for title and abstract screening. Full text screening was completed for 102 articles, with 23 being selected for final review. Sixty-one percent of the studies included in the review focused on general emergency care, while 26% focused on stroke care and 13% focused on myocardial infarction care. The reviewed studies found that telemedicine is feasible and effective in decreasing treatment times, report a high diagnosis accuracy rate, show higher rates of positive task completion than in regular ambulances, and demonstrate that stroke evaluation is completed with comparable accuracy to the standard way of delivering care. CONCLUSIONS: Although this review identified life-saving benefits of telemedicine, it also showed the paucity of the scientifically sound research in its implementation, prompting further studies. Further research is needed to analyze the capabilities and challenges involved in implementing telemedicine in ambulances, especially studies focusing on human-system integration and human factors' considerations in the implementation of telemedicine systems in ambulances, the development of advanced Internet connectivity paradigms, additional applications for triaging, and the implications of ambulance location.

The genomic CDS sandbox: An assessment among domain experts.

Genomics is a promising tool that is becoming more widely available to improve the care and treatment of individuals. While there is much assertion, genomics will most certainly require the use of clinical decision support (CDS) to be fully realized in the routine clinical setting. The National Human Genome Research Institute (NHGRI) of the National Institutes of Health recently convened an in-person, multi-day meeting on this topic. It was widely recognized that there is a need to promote the innovation and development of resources for genomic CDS such as a CDS sandbox. The purpose of this study was to evaluate a proposed approach for such a genomic CDS sandbox among domain experts and potential users. Survey results indicate a significant interest and desire for a genomic CDS sandbox environment among domain experts. These results will be used to guide the development of a genomic CDS sandbox.

Clinical information system services and capabilities desired for scalable, standards-based, service-oriented decision support: consensus assessment of the Health Level 7 clinical decision support Work Group.

A standards-based, service-oriented architecture for clinical decision support (CDS) has the potential to significantly enhance CDS scalability and robustness. To enable such a CDS architecture, the Health Level 7 CDS Work Group reviewed the literature, hosted multi-stakeholder discussions, and consulted domain experts to identify and prioritize the services and capabilities required from clinical information systems (CISs) to enable service-oriented CDS. In addition, relevant available standards were identified. Through this process, ten CIS services and eight CIS capabilities were identified as being important for enabling scalable, service-oriented CDS. In particular, through a survey of 46 domain experts, five services and capabilities were identified as being especially critical: 1) the use of standard information models and terminologies; 2) the ability to leverage a Decision Support Service (DSS); 3) support for a clinical data query service; 4) support for an event subscription and notification service; and 5) support for a user communication service.

Promoting prostate-specific antigen informed decision-making. Evaluating two community-level interventions.

BACKGROUND: Most medical associations recommend that patients make informed decisions about whether to be screened for prostate cancer with the prostate-specific antigen (PSA) test. Studies assessing how to promote PSA informed decision-making (IDM) have been conducted almost exclusively in healthcare settings; there is a need for similar research in community settings. METHODS: This paper describes the results of a 5-year study (2002--2007) in which two community-level interventions were developed, implemented, and evaluated in matched upper- and lower-SES comparison communities in Greensboro and Wilmington, North Carolina. Both interventions promoted PSA informed decision-making. One intervention (PSA-Only) consisted of educational information about prostate cancer and the PSA test, and the other (Men's Health) included additional information about recognizing and preventing heart attack, stroke, and colon cancer. Structured survey, semistructured interview, and structured observational data were combined to compare participating community residents' pre/post changes in knowledge, intentions, and behaviors related to PSA IDM. RESULTS: The community-level interventions successfully engaged community participants in discussions, educated individuals, encouraged deliberation of information, and facilitated PSA test discussions with physicians. Men who participated in the PSA-Only educational sessions were more likely than those who attended the Men's Health educational sessions to discuss the PSA test with their physician (p=0.037). CONCLUSIONS: When prospective SES-related confounding factors are matched across comparison communities, PSA IDM interventions can be shown to promote IDM. Framing the PSA test decision relative to less-ambiguous screening decisions does not appear to increase the likelihood of PSA IDM.